Modern Database Management - Global Edition

Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The Twelfth Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.view full description

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Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The Twelfth Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.

Features

Provides hands-on practice with database development

Organization accommodates structural flexibility. The modular nature of the text allows the instructor to omit certain chapters or to cover chapters in a different sequence, to meet the needs of both his/her curriculum and student career paths.

Information from the best in the industry. The authors worked closely with database practitioner organizations to include vitally important information that students need to know in order to become effective database practitioners.

Expanded coverage and integration of SQL. In addition to expanded SQL coverage (including changes to the latest standard, new features, etc.), this text also includes figures to graphically depict the set processing related logic of SQL queries, giving students vital tools for assistance in writing queries.

Chapter introductions and summaries both encapsulate the main concepts of each chapter and link material to related chapters.

Learning objectives, located at the beginning of each chapter, preview major concepts and skills students will learn from that chapter and provide a great study review aid for students as they prepare for assignments and examinations.

UPDATED! Every chapter went through significant edits to streamline coverage to ensure relevance with current technologies and eliminate redundancies.

UPDATED! End-of-chapter material (review questions, problems and exercises, and/or field exercises) in every chapter has been revised with new material.

UPDATED! The figures in several chapters were updated to reflect the changing landscape of technologies that are being used in modern organizations.

Field Exercises. A set of “hands-on” mini-cases can be assigned to either individual students or small teams. Field exercises range from directed field trips to Internet searches.

UPDATED! The Web Resources section in each chapter was updated to ensure that students have information on the latest database trends and expanded background details on important topics covered in the text.

UPDATED! Custom-developed short videos address key concepts and skills from different sections of the book, helping students learn potentially difficult material in a format that speaks to visual learners. These videos, available on the student Companion Website, support topics such as:

Introduction to database (Chapter 1)

Conceptual data modeling (Chapters 2 and 3)

Normalization (Chapter 4)

SQL (Chapters 6 and 7)

UPDATED! The reduced length of this edition is more consistent with what reviewers say can be covered in a database course today, given the need for depth of coverage in the most important topics.

Topics reflect major trends in the information systems field

NEW! Additional information including a dedicated chapter on Big Data and Analytics has been added, providing in-depth coverage of big data technologies such as NoSQL, Hadoop, MapReduce, Pig, and Hive, and providing an introduction to the different types of analytics (descriptive, predictive, and prescriptive) and their use in business.